Background

Spinvis (Erik de Jong) is a Dutch artist, who’s music is hard to categorize in a specific genre. Some even say that Spinvis is his own genre, but his music comes most close to the genres, experimental Lo-Fi, experimental pop, neo-psychedelia, alternative indie and even a bit of modern dance and electronics. The music is composed through sampling and cutting of pieces of different sounds, varying from sound samples from computers and sounds made by differing attributes, such as pot lids, a whistle and a keyboard. The texts of the songs cohere with the sounds and are almost poetic and supported by the melancholic voice of Erik. The first album, “Spinvis (2002)”, is the most alternative and makes mainly use of computer based sampling, attributes and sensational song texts. From his third album on, “Dagen van Gras, Dagen Van Stro (2005)”, he is accompanied by his band. The corpus that will be studied is the Corpus of different songs of Spinvis. Sampling different songs of every album made by Spinvis and sampling different songs in the coherent genres. This to try to distinguish what specific aspects of Spinvis can be heard in the different genres. I expect to that many aspects of the style of Spinvis can be found in many different genres, because it is hard to assign him to one specific genre.

How similar are the features in Spinvis songs compared to different genres

The two playlist that are compared in both graphs are a Spinvis playslist, only containing songs of Spinvis (Category: Spinvis) and a playlist with songs that are in overlapping genres with spinvis (Category: Genre). Both graphs show the measured features.

Cepstrograms

Dynamic Time Wrapping

Cepstrogram

Self-Similarity Matrices

PicassoPitches <- Picasso |>
  compmus_self_similarity(pitches, "cosine") |> 
  ggplot(
    aes(
      x = xstart + xduration / 2,
      width = xduration,
      y = ystart + yduration / 2,
      height = yduration,
      fill = d
    )
  ) +
  geom_tile() +
  coord_fixed() +
  scale_fill_viridis_c(guide = "none") +
  theme_classic() +
  labs(x = "", y = "", title =  "Pitches")

Conclusion

weaknesses of the corpus: strengths of the corpus: interesting results overview: discussion/conclusion:

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